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Carbon Black Blog
Carbon Black Blog
•added 2018/12/05 6:00 p.m.•87 views

Top 5 Threat Hunting Myths: “Threat Hunting Is Too Complicated”

The cybersecurity landscape is in a constant state of change and, as many organizations have learned, it’s no longer a matter of if you’ll face a cyberattack, but when. In today’s world, attackers intentionally look normal to evade automated defenses. With the rise of ransomware, fileless and...

6.7AI score
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Carbon Black Blog
Carbon Black Blog
•added 2018/10/30 12:30 p.m.•24 views

Carbon Black Report: Destructive Cyberattacks Increase Ahead of 2018 Midterm Elections

A trade war with China. A fragile agreement with North Korea. A growing fear of Russian hackers. Ahead of the 2018 U.S. midterm congressional elections, geopolitical conflict continues to play out in cyberspace. According to the world’s top incident response IR professionals, politically motivate...

0.4AI score
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FireEye
FireEye
•added 2018/10/03 8:00 a.m.•392 views

APT38: Details on New North Korean Regime-Backed Threat Group

Today, we are releasing details on the threat group that we believe is responsible for conducting financial crime on behalf of the North Korean regime, stealing millions of dollars from banks worldwide. The group is particularly aggressive; they regularly use destructive malware to render victim...

7.4AI score
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Carbon Black Blog
Carbon Black Blog
•added 2018/10/02 1:13 p.m.•46 views

Creating a Cyber Panic Room to Fight Off Invasions

Genghis Khan was a mastermind. A terrifyingly brilliant military strategist who altered the course of world history. He used fear to paralyze his enemies. “In one apocryphal account circulated to create anxiety among the enemy, the Mongols supposedly promised to retreat from a besieged city if th...

0.5AI score
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RedhatCVE
RedhatCVE
•added 2018/09/24 8:49 p.m.•36 views

CVE-2018-3830

Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting XSS vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users...

8CVSS4.6AI score0.01628EPSS
SaveExploits0References2
Tenable Nessus
Tenable Nessus
•added 2018/09/24 12:00 a.m.•105 views

Kibana ESA-2018-14

Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting XSS vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users. C Tenable Network Security, Inc. include"compat.inc"; if...

6.1CVSS6.8AI score0.01628EPSS
SaveExploits0References2
NVD
NVD
•added 2018/09/19 7:29 p.m.•35 views

CVE-2018-3830

Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting XSS vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users...

6.1CVSS6AI score0.01628EPSS
SaveExploits0References3
OSV
OSV
•added 2018/09/19 7:29 p.m.•35 views

CVE-2018-3830

Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting XSS vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users...

6.1CVSS5.4AI score
SaveExploits0References3
Prion
Prion
•added 2018/09/19 7:29 p.m.•23 views

Cross site scripting

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive...

4.3CVSS6.1AI score0.00891EPSS
SaveExploits0References2Affected Software3
Prion
Prion
•added 2018/09/19 7:29 p.m.•27 views

Cross site scripting

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...

3.5CVSS5.8AI score0.00647EPSS
SaveExploits0References2Affected Software3
NVD
NVD
•added 2018/09/19 7:29 p.m.•29 views

CVE-2018-3823

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...

5.4CVSS6AI score0.00647EPSS
SaveExploits0References2
Prion
Prion
•added 2018/09/19 7:29 p.m.•27 views

Cross site scripting

Kibana versions 5.3.0 to 6.4.1 had a cross-site scripting XSS vulnerability via the source field formatter that could allow an attacker to obtain sensitive information from or perform destructive actions on behalf of other Kibana users...

4.3CVSS6.8AI score0.01628EPSS
SaveExploits0References3Affected Software2
Mend
Mend
•added 2018/09/19 7:00 p.m.•5 views

CVE-2018-3824

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. If an attacker is able to inject data into an index that has a ML job running against it, then when another user views the results of the ML job it could allow the attacker to obtain sensitive...

6.1CVSS0.00891EPSS
SaveExploits0References3
Cvelist
Cvelist
•added 2018/09/19 7:00 p.m.•44 views

CVE-2018-3823

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...

5.7AI score0.00647EPSS
SaveExploits0References2
Mend
Mend
•added 2018/09/19 7:00 p.m.•5 views

CVE-2018-3823

X-Pack Machine Learning versions before 6.2.4 and 5.6.9 had a cross-site scripting XSS vulnerability. Users with manageml permissions could create jobs containing malicious data as part of their configuration that could allow the attacker to obtain sensitive information from or perform destructiv...

5.4CVSS0.00647EPSS
SaveExploits0References2
ThreatPost
ThreatPost
•added 2018/06/06 9:21 p.m.•21 views

VPNFilter Malware Impact Larger Than Previously Thought

Researchers say the impact of the VPNFilter malware discovered last month is larger than originally reported. On Wednesday, Cisco Talos researchers said they now believe the malware has infected twice the number of router brands than previously stated. They added that VPNFilter also delivers a mo...

7.4AI score
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The Hacker News
The Hacker News
•added 2018/06/06 2:23 p.m.•5 views

Destructive and MiTM Capabilities of VPNFilter Malware Revealed

It turns out that the threat of the massive VPNFilter botnet malware that was discovered late last month is beyond what we initially thought. Security researchers from Cisco's Talos cyber intelligence have today uncovered more details about VPNFilter malware, an advanced piece of IoT botnet malwa...

7.2AI score
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The Hacker News
The Hacker News
•added 2018/06/06 2:23 p.m.•66 views

Destructive and MiTM Capabilities of VPNFilter Malware Revealed

It turns out that the threat of the massive VPNFilter botnet malware that was discovered late last month is beyond what we initially thought. Security researchers from Cisco's Talos cyber intelligence have today uncovered more details about VPNFilter malware, an advanced piece of IoT botnet malwa...

0.4AI score
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ThreatPost
ThreatPost
•added 2018/05/23 4:48 p.m.•23 views

VPNFilter Malware Infects 500k Routers Including Linksys, MikroTik, NETGEAR

Malware called VPNFilter has infected 500,000 router brands ranging from Linksys, MikroTik, NETGEAR and TP-Link that are mostly used in home offices. Researchers at Cisco Talos said they decided to warn the public of the threat despite the fact the infected devices and malware are still under...

0.7AI score
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CISA
CISA
•added 2018/05/23 12:00 a.m.•16 views

VPNFilter Destructive Malware

NCCIC is aware of a sophisticated modular malware system known as VPNFilter. Devices known to be affected by VPNFilter include Linksys, MikroTik, NETGEAR, and TP-Link networking equipment, as well as QNAP network-attached storage NAS devices. Devices compromised by VPNFilter may be vulnerable to...

6.8AI score
SaveExploits0References2
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